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: Expertise in machine learning, deep learning, natural language processing and other AI methods in health and life sciences datasets Expertise in advanced computational methods such as network analysis, graph
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documented expertise in: Modeling and simulation of physical systems, Deep learning with applications in robotics, in particular field robotics, and Control and motion planning of mechatronic systems
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. Machine Learning Expertise: Familiarity with causal machine learning, ensemble methods, and deep learning architectures (CNNs, RNNs). Experience with explainable AI (e.g., SHAP, LIME) is preferred
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We are looking for a highly motivated neuroscientist or engineer as a Postdoctoral Researcher to join the Liebscher Lab (https://sysneuro.i-med.ac.at), where we investigate how neural circuit
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discipline Strong experience in integrating several of the following components: Deep learning and LLMs for molecular biology Vision foundation models for pathological image analysis Multi-omics datasets (e.g
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FieldMathematicsYears of Research ExperienceNone Additional Information Eligibility criteria PhD in computer science, deep learning, or data science. Experience with multimodal models for biological data. Website
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applications for a fully funded postdoctoral associate position. This position, available immediately, focuses on developing machine learning and deep learning methods for analyzing large-scale single-cell DNA
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skills. Particularly meritorious is documented expertise in: Modeling and simulation of physical systems, Deep learning with applications in robotics, in particular field robotics, and Control and motion
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with ACGME-I accredited clinical sites, can be accessed at http://qatar-weill.cornell.edu . Job Responsibilities Develop and deploy advanced computational and machine‑learning methods to support research
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Engineering, Medical Image Analysis, Applied Mathematics or a related field Experience with deep learning for image analysis, preferably in medical imaging Experience with generative modelling, ideally